A method of operating a reciprocating system including a rod pump for pumping liquids from a wellbore. The method includes determining rod position of the rod pump using a wave-based technology detector, the rod pump comprising a rod string carrying a down hole pump and a drive system including a drive motor coupled to the rod string through a transmission unit; communicating rod position to a data acquisition system receiving one or more other measurements of rod pump operation to determine rod pump performance; and adjusting at least one operating parameter to enhance rod pump performance. A method of determining operating parameters and optimizing performance of an oil or gas production rod pump, and a system for determining rod position of an oil or gas production rod pump are also provided.
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2. The method of claim 1, wherein the wave-based technology detector comprises a multi-dimensional imaging LIDAR, radar, sonar, infrared imaging, or optical imaging detector.
This invention relates to wave-based technology for detecting and analyzing objects or environments using multi-dimensional imaging systems. The technology addresses the need for precise, high-resolution detection and characterization of targets in various applications, such as autonomous navigation, surveillance, or environmental monitoring, where traditional sensors may lack sufficient detail or accuracy. The system employs a wave-based detector capable of generating multi-dimensional images, including LIDAR, radar, sonar, infrared imaging, or optical imaging. These detectors emit and receive waves (e.g., light, radio, or sound) to construct detailed spatial representations of the target area. The multi-dimensional imaging capability allows for depth perception, surface texture analysis, and material identification, enhancing detection accuracy in complex or dynamic environments. The detector processes the reflected or scattered waves to generate high-resolution images, which may include 3D point clouds, depth maps, or thermal signatures. Advanced signal processing techniques are used to filter noise, improve resolution, and extract relevant features. The system can operate in real-time, making it suitable for applications requiring rapid decision-making, such as obstacle avoidance in autonomous vehicles or threat detection in security systems. By leveraging multi-dimensional imaging, the technology provides superior spatial awareness compared to conventional 2D imaging or single-point sensors. This enables more reliable object recognition, tracking, and environmental mapping, addressing limitations in low-visibility conditions or cluttered environments. The system can be integrated into various platforms, including drones, robots, or fixed installations, depending
3. The method of claim 2, wherein the multi-dimensional imaging LIDAR includes one or more laser emitters, one or more optical receivers, and a controller in communication with the one or more receivers and the one or more laser emitters.
A multi-dimensional imaging LIDAR system is used to capture detailed spatial and reflective data of objects in an environment. The system addresses the need for high-resolution, three-dimensional mapping and object detection, which is critical for applications such as autonomous navigation, robotics, and environmental monitoring. Traditional LIDAR systems often lack sufficient dimensional accuracy or fail to capture fine details, limiting their effectiveness in complex scenarios. The system includes one or more laser emitters that project laser beams into the environment. These beams interact with objects, and the reflected signals are captured by one or more optical receivers. A controller processes the received signals to generate a multi-dimensional representation of the environment, including depth, intensity, and other reflective properties. The controller coordinates the laser emitters and receivers to ensure precise timing and alignment, enabling accurate distance measurements and high-resolution imaging. The system may also incorporate multiple emitters and receivers to enhance coverage and detail, improving detection and mapping capabilities in dynamic or cluttered environments. This approach provides a more comprehensive understanding of the surroundings, supporting applications requiring precise spatial awareness.
4. The method of claim 2, wherein the multi-dimensional imaging LIDAR further comprises a first laser emitter that generates a first optical beam having a first wavelength and a second laser emitter that generates a second optical beam having a second wavelength.
A multi-dimensional imaging LIDAR system is used to capture detailed spatial and reflective data of objects in a scene. Traditional LIDAR systems often struggle with limited resolution or difficulty distinguishing between different materials due to single-wavelength laser emissions. This invention addresses these limitations by incorporating a dual-wavelength laser emitter system within the LIDAR. The system includes a first laser emitter that generates an optical beam at a first wavelength and a second laser emitter that generates an optical beam at a second wavelength. The dual-wavelength approach enhances the system's ability to differentiate between materials based on their reflective properties at different wavelengths, improving object classification and scene analysis. The emitted beams are directed toward a target, and the reflected signals are detected and processed to generate a multi-dimensional image. This configuration allows for more accurate depth perception, material identification, and environmental mapping compared to single-wavelength LIDAR systems. The system may also include additional components such as beam steering mechanisms, detectors, and processing units to further refine the imaging capabilities. The dual-wavelength design is particularly useful in applications requiring high-resolution imaging, such as autonomous navigation, industrial inspection, and environmental monitoring.
5. The method of claim 2, wherein the multi-dimensional imaging LIDAR is a three-dimensional LIDAR.
A three-dimensional LIDAR system is used for capturing detailed spatial data of an environment. The system emits laser pulses and measures the time-of-flight to determine distances, generating a point cloud that represents the three-dimensional structure of objects. This technology is applied in autonomous navigation, mapping, and object detection, addressing the need for high-resolution spatial awareness in dynamic environments. The LIDAR system may include multiple sensors or scanning mechanisms to improve coverage and accuracy, ensuring precise depth and surface information. The data is processed to construct a three-dimensional model, which can be used for real-time decision-making in applications such as self-driving vehicles, robotics, and industrial automation. The system may also incorporate calibration techniques to enhance measurement reliability and reduce errors caused by environmental factors. By providing detailed three-dimensional imaging, the LIDAR system enables accurate spatial analysis and interaction with the physical world, improving safety and efficiency in automated systems.
6. The method of claim 2, wherein the multi-dimensional imaging LIDAR is positioned remotely from the rod pump.
A remote monitoring system for rod pumps in oil and gas extraction uses multi-dimensional imaging LIDAR to track the movement of the walking beam and other components of the pump jack. The system addresses the challenge of accurately monitoring rod pump performance in harsh environments where traditional sensors may fail or require frequent maintenance. The LIDAR is positioned away from the pump to avoid interference with its operation while still capturing detailed 3D data of the walking beam's motion. This data is processed to determine stroke length, stroke rate, and other operational parameters, enabling early detection of mechanical issues such as misalignment or excessive wear. The remote placement of the LIDAR improves safety by reducing the need for personnel to inspect equipment manually in hazardous conditions. The system may also integrate with existing SCADA or remote monitoring platforms to provide real-time diagnostics and predictive maintenance insights. By using LIDAR instead of contact-based sensors, the system avoids mechanical wear and corrosion, extending its operational lifespan in corrosive or high-vibration environments. The technology is particularly useful for offshore or remote onshore wells where access is limited and reliability is critical.
7. The method of claim 2, wherein the wave-based technology detector employs a plurality of multi-dimensional imaging LIDAR units.
The invention relates to wave-based technology detection systems, specifically for identifying and analyzing objects or environments using multi-dimensional imaging LIDAR units. Traditional detection methods often struggle with accuracy, resolution, or real-time processing, particularly in complex or dynamic environments. This invention addresses these limitations by utilizing multiple LIDAR units to capture high-resolution, multi-dimensional data, enabling precise detection and analysis of targets. The system employs a network of LIDAR units configured to emit and receive laser pulses, generating detailed 3D point clouds or volumetric data. These units operate in synchronization or independently, depending on the application, to enhance spatial coverage and reduce blind spots. The LIDAR units may incorporate advanced features such as wavelength diversity, polarization sensitivity, or time-of-flight measurements to improve detection accuracy in varying conditions like fog, dust, or low light. The collected data is processed to extract features, classify objects, or reconstruct environments in real time. Machine learning or signal processing algorithms may be applied to interpret the LIDAR outputs, distinguishing between different materials, shapes, or movements. The system can be integrated into autonomous vehicles, surveillance networks, or industrial inspection tools, where precise spatial awareness is critical. By leveraging multiple LIDAR units, the invention achieves higher fidelity and robustness compared to single-unit systems, making it suitable for applications requiring detailed wave-based detection and analysis.
8. The method of claim 1, wherein the wave-based technology detector further includes a radar and/or a sonar sensing device to improve measurement performance during inclement weather or otherwise hostile environmental conditions.
This invention relates to wave-based technology for detecting and measuring environmental conditions, particularly in challenging scenarios such as inclement weather or other hostile environments. The system enhances detection accuracy by incorporating radar and/or sonar sensing devices alongside other wave-based sensors. These additional sensors compensate for limitations in visibility or signal interference caused by adverse conditions, ensuring reliable performance. The radar and sonar devices provide complementary data, improving measurement precision and robustness. The system dynamically adjusts sensor inputs based on environmental factors, optimizing detection and measurement outcomes. This approach ensures consistent performance in varying conditions, making it suitable for applications requiring high reliability in harsh environments. The integration of multiple sensing modalities reduces errors and enhances the overall effectiveness of the detection system.
10. The method of claim 9, wherein the wave-based technology detector comprises a multi-dimensional imaging LIDAR, radar, sonar, infrared imaging, or optical imaging.
11. The method of claim 10, wherein the multi-dimensional imaging LIDAR includes one or more laser emitters, one or more optical receivers, and a controller in communication with the one or more receivers and the one or more laser emitters.
A multi-dimensional imaging LIDAR system is used for capturing detailed spatial and depth information of objects in an environment. Traditional LIDAR systems often struggle with limited resolution, slow scanning speeds, or difficulty in capturing complex three-dimensional data, which can hinder applications in autonomous navigation, environmental monitoring, and industrial inspection. This invention addresses these limitations by incorporating a multi-dimensional imaging LIDAR system that includes one or more laser emitters, one or more optical receivers, and a controller. The laser emitters emit laser pulses toward a target area, while the optical receivers detect reflected signals to determine distance and spatial information. The controller processes the received signals to generate high-resolution, multi-dimensional images, improving accuracy and detail in mapping and object detection. The system may also include additional components such as beam steering mechanisms or signal processing algorithms to enhance performance. This approach enables faster, more precise data acquisition, making it suitable for real-time applications in autonomous vehicles, robotics, and surveillance. The invention improves upon existing LIDAR technologies by integrating advanced hardware and control systems to capture comprehensive environmental data efficiently.
12. The method of claim 10, wherein the multi-dimensional imaging LIDAR further comprises a first laser emitter that generates a first optical beam having a first wavelength and a second laser emitter that generates a second optical beam having a second wavelength.
A multi-dimensional imaging LIDAR system is used to capture detailed spatial and reflective information from a target environment. The system addresses limitations in conventional LIDAR by incorporating multiple laser emitters with distinct wavelengths to enhance data accuracy and environmental adaptability. The LIDAR includes a first laser emitter that generates an optical beam at a first wavelength and a second laser emitter that generates an optical beam at a second wavelength. These beams are directed toward the target environment, where they interact with objects and reflect back to the system. The reflected signals are detected and processed to generate a three-dimensional point cloud, with each wavelength providing complementary data. The use of multiple wavelengths improves penetration through atmospheric conditions, reduces interference, and enhances material discrimination. The system may also include scanning mechanisms to adjust the direction of the laser beams, allowing for dynamic coverage of the environment. The collected data is processed to extract depth, intensity, and other reflective properties, enabling applications in autonomous navigation, environmental mapping, and object recognition. The multi-wavelength approach ensures robust performance in varying conditions, such as fog or dust, where single-wavelength systems may fail. The system may further integrate with other sensors or computational modules to refine the output for specific use cases.
13. The method of claim 10, wherein the multi-dimensional imaging LIDAR is a three-dimensional LIDAR.
A three-dimensional LIDAR system is used for capturing detailed spatial data of an environment. The system emits laser pulses and measures the time-of-flight to determine distances, generating a point cloud that represents the three-dimensional structure of objects and surfaces. This technology is applied in applications such as autonomous navigation, mapping, and object detection, where accurate depth and spatial information are critical. The LIDAR system may include multiple laser emitters and detectors arranged in an array to capture data from different angles, improving resolution and coverage. The system may also incorporate scanning mechanisms, such as rotating mirrors or solid-state beam steering, to dynamically adjust the field of view. Advanced signal processing techniques are used to filter noise, correct distortions, and enhance the accuracy of the point cloud data. The three-dimensional LIDAR system may be integrated with other sensors, such as cameras or radar, to provide a comprehensive perception of the environment. The data generated by the LIDAR system can be used for real-time decision-making in autonomous vehicles, robotics, or industrial automation, where precise spatial awareness is essential. The system may also include calibration and alignment features to ensure consistent performance over time.
14. The method of claim 10, wherein the multi-dimensional imaging LIDAR is positioned remotely from the rod pump.
A system and method for monitoring and analyzing rod pump systems in oil and gas production uses multi-dimensional imaging LIDAR to track the movement of a walking beam in real-time. The walking beam is a critical component of a rod pump, which is used to mechanically lift fluids from underground wells. Traditional monitoring methods rely on sensors attached to the pump, which can be unreliable due to environmental factors and mechanical wear. The invention addresses this by using LIDAR to remotely capture high-resolution, three-dimensional data of the walking beam's motion, allowing for precise analysis of pump performance without physical contact. The LIDAR system is positioned remotely from the rod pump, eliminating the need for direct sensor installation on the equipment. This remote positioning enhances safety and reduces maintenance requirements, as the LIDAR can operate from a distance while still providing accurate measurements. The system processes the LIDAR data to determine key parameters such as stroke length, stroke rate, and mechanical efficiency, which are used to assess pump health and detect potential failures before they occur. The invention improves reliability and reduces downtime in oil and gas production by enabling continuous, non-invasive monitoring of rod pump systems.
15. The method of claim 10, wherein the wave-based technology detector employs a plurality of multi-dimensional imaging LIDAR units.
A system and method for detecting and analyzing wave-based technologies, such as radar, sonar, or LIDAR, to identify and characterize their operational parameters. The technology detector uses multiple multi-dimensional imaging LIDAR units to capture high-resolution spatial and temporal data of the wave-based signals. These LIDAR units are configured to scan the environment in multiple dimensions, including range, azimuth, elevation, and possibly Doppler velocity, to generate detailed 3D or 4D representations of the detected waves. The system processes the collected data to extract features such as signal frequency, modulation patterns, beamforming characteristics, and spatial distribution. By analyzing these features, the system can classify the type of wave-based technology being used, determine its operational parameters, and assess its potential impact on surrounding systems. The multi-dimensional imaging capability enhances detection accuracy and resolution, allowing for precise identification of even complex or stealthy wave-based technologies. This approach is particularly useful in applications such as electronic warfare, spectrum monitoring, and environmental sensing, where understanding the behavior of wave-based systems is critical.
16. The method of claim 9, wherein the wave-based technology detector further includes a radar and/or a sonar sensing device to improve measurement performance during inclement weather or otherwise hostile environmental conditions.
This invention relates to wave-based technology for detecting and measuring environmental conditions, particularly in challenging scenarios such as inclement weather or other hostile environments. The system employs a wave-based technology detector, which may include radar or sonar sensing devices, to enhance measurement accuracy and reliability under adverse conditions. Radar and sonar are used to detect and analyze waves, such as ocean waves, by emitting signals and interpreting the reflected signals to determine wave characteristics like height, period, and direction. The inclusion of radar and sonar improves performance by providing additional data that compensates for limitations caused by poor visibility, heavy precipitation, or other environmental factors that might degrade optical or other sensing methods. The system processes the collected wave data to generate accurate measurements, which can be used for applications such as maritime navigation, coastal monitoring, or weather forecasting. By integrating multiple sensing modalities, the invention ensures robust and reliable wave detection even in difficult operating conditions.
18. The system of claim 17, further comprising a load sensor for determining polished rod load.
A system for monitoring and controlling a reciprocating pump, such as a sucker rod pump used in oil and gas extraction, includes a load sensor to measure the load on the polished rod. The polished rod is a critical component that connects the surface pump to the downhole pump, transmitting mechanical energy to lift fluids from a well. The system addresses the challenge of optimizing pump performance and preventing mechanical failures by providing real-time load data. This data is used to detect abnormal operating conditions, such as rod fatigue, misalignment, or excessive wear, which can lead to costly downtime and maintenance. The load sensor works in conjunction with other components, such as a position sensor and a controller, to adjust pump operation dynamically. The controller processes the load data to determine optimal stroke length, speed, and timing, ensuring efficient fluid extraction while minimizing stress on the system. By integrating load monitoring, the system enhances reliability, extends equipment lifespan, and reduces operational costs in oil and gas production.
19. The system of claim 18, wherein rod pump performance is optimized.
A system optimizes the performance of a rod pump used in oil and gas extraction. Rod pumps are mechanical devices that lift fluids from underground wells, but their efficiency can be compromised by factors such as wear, misalignment, or suboptimal operational parameters. The system monitors and adjusts the rod pump's operation in real-time to maximize efficiency and minimize wear. It includes sensors that measure parameters like pump stroke rate, fluid viscosity, and mechanical stress on the rod string. Data from these sensors is processed to detect inefficiencies, such as excessive energy consumption or premature wear. The system then adjusts operational settings, such as stroke length, speed, or pressure, to optimize performance. Additionally, it may predict maintenance needs by analyzing wear patterns and operational data over time. The system can also integrate with other well control systems to ensure coordinated operation. By continuously adapting to changing well conditions, the system extends the lifespan of the rod pump, reduces downtime, and improves overall extraction efficiency. The optimization process may involve machine learning algorithms that refine adjustments based on historical performance data.
20. The system of claim 17, wherein the multi-dimensional imaging LIDAR comprises one or more laser emitters, one or more optical receivers, and a controller in communication with the one or more receivers and the one or more laser emitters.
A multi-dimensional imaging LIDAR system is used for capturing detailed spatial data of environments, such as for autonomous navigation, mapping, or object detection. Traditional LIDAR systems may struggle with limited resolution, slow data acquisition, or high power consumption, which can hinder performance in dynamic or complex environments. This system addresses these challenges by incorporating one or more laser emitters, one or more optical receivers, and a controller that coordinates the emitters and receivers to enhance imaging capabilities. The laser emitters generate pulses of light that reflect off objects in the environment, while the optical receivers detect the reflected signals. The controller processes the received data to construct a multi-dimensional representation of the surroundings, improving accuracy and resolution. This configuration allows for real-time, high-resolution imaging, making it suitable for applications requiring precise spatial awareness, such as autonomous vehicles, robotics, or industrial automation. The system's modular design enables scalability, allowing adjustments in emitter and receiver configurations to optimize performance for specific use cases.
21. The system of claim 17, wherein the multi-dimensional imaging LIDAR further comprises a first laser emitter that generates a first optical beam having a first wavelength and a second laser emitter that generates a second optical beam having a second wavelength.
A multi-dimensional imaging LIDAR system is designed to enhance spatial and spectral resolution in remote sensing applications. The system addresses limitations in conventional LIDAR by incorporating multiple laser emitters with distinct wavelengths to improve detection accuracy and material identification. The LIDAR includes a first laser emitter that generates an optical beam at a first wavelength and a second laser emitter that generates an optical beam at a second wavelength. These beams are directed toward a target, and the reflected signals are analyzed to construct a detailed 3D map of the environment. The use of multiple wavelengths allows for better discrimination between different materials and surfaces, as well as improved depth and texture resolution. The system may also include scanning mechanisms to adjust the beam direction and receivers to capture the reflected light. By leveraging multiple wavelengths, the LIDAR system provides enhanced data for applications such as autonomous navigation, environmental monitoring, and industrial inspection. The design ensures high precision in distance measurement and material characterization, overcoming the constraints of single-wavelength LIDAR systems.
22. The system of claim 17, wherein the multi-dimensional imaging LIDAR is a three-dimensional LIDAR.
A three-dimensional LIDAR system is used for capturing detailed spatial data of an environment. The system includes a multi-dimensional imaging LIDAR that generates three-dimensional point clouds by emitting laser pulses and measuring the time-of-flight of reflected signals. This data is processed to create high-resolution 3D maps, enabling precise object detection, localization, and environmental modeling. The system may integrate with other sensors, such as cameras or radar, to enhance accuracy and robustness. Applications include autonomous navigation, obstacle avoidance, and environmental monitoring. The LIDAR's ability to provide depth and spatial information in three dimensions improves situational awareness and decision-making in dynamic environments. The system may also include data fusion techniques to combine LIDAR data with other sensor inputs, ensuring reliable performance in varying conditions. The three-dimensional LIDAR's high-resolution output enables precise tracking of objects and surfaces, making it suitable for advanced applications in robotics, automotive systems, and industrial automation.
23. The system of claim 17, wherein the multi-dimensional imaging LIDAR is positioned remotely from the rod pump.
A system for monitoring and controlling a rod pump in an oil or gas well uses a multi-dimensional imaging LIDAR sensor to track the movement of the pump's walking beam. The LIDAR sensor is positioned remotely from the rod pump, allowing it to capture detailed 3D data of the beam's motion without physical attachment. This remote positioning avoids interference with the pump's operation while providing high-precision measurements of displacement, velocity, and acceleration. The system processes the LIDAR data to detect anomalies in the beam's movement, such as excessive vibration or misalignment, which can indicate mechanical failures or inefficiencies. By analyzing these patterns, the system can predict potential failures before they occur, enabling proactive maintenance. The remote LIDAR setup also allows for monitoring multiple pumps from a single location, reducing the need for on-site inspections. The system may integrate with existing control systems to adjust pump parameters in real-time, optimizing performance and reducing downtime. This approach improves safety, efficiency, and reliability in oil and gas production operations.
24. The system of claim 17, wherein the rod positioning measuring system employs a plurality of multi-dimensional imaging LIDAR units.
A system for precise rod positioning in industrial or robotic applications uses a multi-dimensional imaging LIDAR-based measurement system to track and adjust the position of rods or similar elongated components. The system addresses challenges in accurately positioning rods in dynamic environments, such as manufacturing, assembly, or material handling, where traditional measurement methods may lack precision or adaptability. The LIDAR units generate high-resolution 3D point clouds of the rod's position, orientation, and dimensions, enabling real-time feedback for automated adjustments. Multiple LIDAR sensors are strategically placed to capture data from different angles, improving accuracy and reducing blind spots. The system processes this data to determine deviations from a target position and transmits correction signals to actuators or robotic arms, ensuring precise alignment. The LIDAR-based approach enhances reliability in environments with varying lighting conditions, reflective surfaces, or complex geometries, where optical or contact-based sensors may fail. The system can be integrated into automated production lines, robotic welding, or material sorting applications, improving efficiency and reducing errors. The use of multi-dimensional imaging LIDAR allows for simultaneous tracking of multiple rods or components, supporting high-throughput operations.
25. The system of claim 17, wherein the rod positioning measuring system further includes a radar and/or a sonar sensing device to improve measurement performance during inclement weather or otherwise hostile environmental conditions.
This invention relates to a system for measuring the position of a rod, such as a rod used in industrial or marine applications, where accurate positioning is critical. The system addresses the challenge of maintaining precise measurement accuracy under adverse environmental conditions, such as heavy rain, fog, or high winds, which can interfere with traditional optical or mechanical measurement techniques. The system includes a radar and/or sonar sensing device integrated into the rod positioning measuring system to enhance measurement performance in inclement weather or other hostile environments. Radar and sonar technologies are used because they are less affected by environmental factors like precipitation, dust, or low visibility compared to optical sensors. The radar or sonar device emits signals that reflect off the rod or other reference points, allowing the system to calculate the rod's position with high accuracy regardless of external conditions. This ensures reliable operation in environments where traditional sensors would fail or produce inaccurate readings. The system may also include additional components, such as a processing unit to analyze the sensor data and compensate for environmental interference, as well as calibration mechanisms to maintain measurement precision over time. The use of radar and/or sonar provides a robust solution for applications requiring continuous, high-precision rod positioning in challenging environments.
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October 1, 2019
December 6, 2022
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